We're hiring a Senior Azure Data Engineer to design, develop, and maintain reliable cloud data solutions. You'll work with large datasets, Azure services, data pipelines, and up-to-date analytics platforms while helping shape scalable data architecture.

What you'll be doing:
Designing and developing scalable data pipelines on Microsoft Azure
Building ETL/ELT workflows for structured and unstructured data
Working with Azure Data Factory, Azure Data Lake, Databricks, and Azure SQL
Developing efficient data transformation and processing solutions
Writing and optimizing SQL and data engineering code
Integrating data from multiple sources and systems
Monitoring pipeline performance and troubleshooting data issues
Implementing data quality, security, and governance practices
Supporting analytics, reporting, and business intelligence teams
Reviewing technical solutions and mentoring junior team members

What we need:
Strong professional experience in data engineering
Hands-on experience with Microsoft Azure data services
Strong SQL and data transformation skills
Experience with Azure Data Factory and Azure Data Lake
Python and/or PySpark experience




Experience with Databricks is a strong plus
Understanding of ETL/ELT, data warehousing, and cloud architecture
Familiarity with Git and CI/CD practices
Strong problem-solving and communication skills
Ability to work independently and lead technical initiatives

Schedule: Full-time opportunities available Pay & Perks:
Competitive salary based on experience
Professional development opportunities
Modern cloud and data technology environment
Cooperative engineering team
Opportunities to lead projects and grow technically

How to apply: No cover letter required. Send your resume along with your current contact information. We're hiring a Senior Azure Data Engineer now and reviewing applications regularly. If you're ready to work on scalable Azure data solutions and take ownership of challenging engineering projects, apply today.

Pay: ₹50,000.00 - ₹60,000.00 per month

Benefits
Adaptable schedule
Health insurance
Life insurance
Provident Fund

Work Location: In person

📌 Azure Data Engineer Gurugram (India)
🏢 Creative Collective Services
📍 India